Author

Jin-Hong Jung

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Open access 2026

Revisiting Classic Graph Neural Networks for Hypergraph Node Classification: An Extensive Empirical Study

Have we been too quick to dismiss classic Graph Neural Networks (GNNs) as inadequate for hypergraph learning? Despite the rise of Hypergraph Neural Networks (HNNs) as the dominant framework for modeling high-order relations, classic GNNs have often been regarded as inherently inferior. However, their underperformance m...

Daewon Gwak, Jaehyun Park, Sunuk Kim et al. · IEEE Access · 0 citations

Preprint Sep 2026

Do All Nodes Benefit Equally from Knowledge Graphs? Adaptive Node-Aware KG Fusion for Recommendation

KG-aware recommendation has been widely studied to alleviate data sparsity by using knowledge graphs (KGs), which represent items, entities, and their relations as graphs and provide item-side knowledge. However, existing methods incorporate item knowledge without considering how much each user or item node should rely...

Jaehyun Park, Minseo Jeon, Daewon Gwak et al. · 0 citations